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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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the following areas : the theory of automorphic forms, applications of automorphic forms to harmonic analysis and differential equations, optimal configurations of points in geometric spaces with focus on packing
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principles of microbial ecology. The project involves techniques of sequencing and bioinformatic analysis, isolation, cultivation, and characterization of anaerobic microorganisms, as well as mathematical
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methodology that develops physics-informed graph neural networks (GNNs) for composite space structure analysis. The methodology will aim to leverage the inherent structure of composite materials, embedding
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discipline A strong foundation in mathematics, physics, data analysis, and programming Excellent communication and collaboration skills, with fluency in English (spoken and written) Preferred Qualifications
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foundation in mathematics, physics, data analysis, and strong programming skills (Python, Matlab, C/C++, or equivalent). Capable / keen to develop and implement SAR signal-processing algorithms in such a
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before you start Very good knowledge of written and spoken English (C1 or higher) Knowledge of data analysis and/or programming and a willingness to familiarize yourself further (e.g., R, Pyton, GIS
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industry. Job description This position will focus on the computational structural design and analysis of discrete structures with integrated post-tensioning systems. It involves developing a calculation